Hongyi Pan

According to our database, Hongyi Pan authored at least 45 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.

Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci

Medical Image Anal., 2025

A lightweight model for the retinal disease classification using optical coherence tomography.

Hongyi Pan, Jingpeng Miao, Jie Yu, Jingran Dong, Mingming Zhang, Xiaobing Wang, Jihong Feng

Biomed. Signal Process. Control., 2025

2024

ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation.

Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi

IEEE Trans. Very Large Scale Integr. Syst., June, 2024

Time-Frequency Aliased Signal Identification Based on Multimodal Feature Fusion.

Hailong Zhang, Lichun Li, Hongyi Pan, Weinian Li, Siyao Tian

Sensors, April, 2024

Wildfire detection via transfer learning: a survey.

Ziliang Hong, Emadeldeen Hamdan, Yifei Zhao, Tianxiao Ye, Hongyi Pan, Ahmet Enis Çetin

Signal Image Video Process., February, 2024

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression.

Xin Zhu, Daoguang Yang, Hongyi Pan, Hamid Reza Karimi, Didem Ozevin, Ahmet Enis Çetin

Eng. Appl. Artif. Intell., January, 2024

IPMN Risk Assessment under Federated Learning Paradigm.

Hongyi Pan, Ziliang Hong, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Yavuz Taktak, Alpay Medetalibeyoglu, Zheyuan Zhang, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ziyue Xu, Ulas Bagci

CoRR, 2024

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI.

Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Yavuz Taktak, Elif Keles, Ertugrul Aktas, Alpay Medetalibeyoglu, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Rajesh N. Keswani, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Michael G. Goggins, Michael B. Wallace, Ziyue Xu, Ulas Bagci

CoRR, 2024

Sparse Mamba: Reinforcing Controllability In Structural State Space Models.

Emadeldeen Hamdan, Hongyi Pan, Ahmet Enis Çetin

CoRR, 2024

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy.

Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Quoc-Huy Trinh, Koushik Biswas, Hongyi Pan, Ritika Kumari Jha, Gorkem Durak, Alexander Hann, Jonas Varkey, Hang Viet Dao, Long Van Dao, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci

CoRR, 2024

DCT-Based Decorrelated Attention for Vision Transformers.

Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Koushik Biswas, Ahmet Enis Çetin, Ulas Bagci

CoRR, 2024

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation.

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

CoRR, 2024

A Probabilistic Hadamard U-Net for MRI Bias Field Correction.

Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci

CoRR, 2024

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification.

Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

AlN Sputtering Parameter Estimation Using A Multichannel Parallel DCT Neural Network.

Yingyi Luo, Talha M. Khan, Emadeldeen Hamdan, Xin Zhu, Hongyi Pan, Didem Ozevin, A. Enis Çetin

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

A Probabilistic Hadamard U-Net for MRI Bias Field Correction.

Xin Zhu, Hongyi Pan, Batuhan Gundogdu, Debesh Jha, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Electroencephalogram Sensor Data Compression Using an Asymmetrical Sparse Autoencoder with a Discrete Cosine Transform Layer.

Xin Zhu, Hongyi Pan, Shuaiang Rong, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2024

Stein Variational Gradient Descent-Based Detection for Random Access with Preambles in MTC.

Xin Zhu, Hongyi Pan, Salih Atici, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2024

Domain Generalization with fourier Transform and soft thresholding.

Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci

Proceedings of the IEEE International Conference on Acoustics, 2024

PAM-UNet: Shifting Attention on Region of Interest in Medical Images.

Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Domain Generalization with Fourier Transform and Soft Thresholding.

Hongyi Pan, Bin Wang, Zheyuan Zhan, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci

CoRR, 2023

GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification.

Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci

CoRR, 2023

Orthogonal Transform Domain Approaches for the Convolutional Layer.

Hongyi Pan, Xin Zhu, Salih Atici, Ahmet Enis Çetin

CoRR, 2023

Hybrid Binary Neural Networks: A Tutorial Review.

Ahmet Enis Çetin, Hongyi Pan

Proceedings of the 41st IEEE VLSI Test Symposium, 2023

A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer.

Hongyi Pan, Xin Zhu, Salih Furkan Atici, Ahmet Enis Çetin

Proceedings of the International Conference on Machine Learning, 2023

A Collaborative Fusion of Vision Transformers and Convolutional Neural Networks in Classifying Cervical Vertebrae Maturation Stages.

Salih Furkan Atici, Hongyi Pan, Mohammed H. Elnagar, Veerasathpurush Allareddy, Rashid Ansari, Omar Suhaym, Ahmet Enis Çetin

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

Real-Time Wireless ECG-Derived Respiration Rate Estimation using an Autoencoder with a DCT Layer.

Hongyi Pan, Xin Zhu, Zhilu Ye, Pai-Yen Chen, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2023

Classification of the Cervical Vertebrae Maturation (CVM) Stages Using the Tripod Network.

Salih Atici, Hongyi Pan, Mohammed H. Elnagar, Veerasathpurush Allareddy, Omar Suhaym, Rashid Ansari, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2023

GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model.

Bin Wang, Armstrong Aboah, Zheyuan Zhang, Hongyi Pan, Ulas Bagci

Proceedings of the Gaze Meets Machine Learning Workshop, 2023

2022

Block Walsh-Hadamard Transform-based Binary Layers in Deep Neural Networks.

Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin

ACM Trans. Embed. Comput. Syst., November, 2022

Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From University of California San Diego.

Xiaochen Li, Maximilian Apodaca, Arunav Gupta, Zihao Kong, Hongyi Pan, Hongyu Zhou, Mary P. Thomas, Martin Kandes, Zhaoyi Li, Mahidhar Tatineni, Lewis Carroll

IEEE Trans. Parallel Distributed Syst., 2022

Normalized Stochastic Gradient Descent Training of Deep Neural Networks.

Salih Atici, Hongyi Pan, Ahmet Enis Çetin

CoRR, 2022

DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer.

Hongyi Pan, Xin Zhu, Salih Atici, Ahmet Enis Çetin

CoRR, 2022

Multipod Convolutional Network.

Hongyi Pan, Salih Atici, Ahmet Enis Çetin

CoRR, 2022

Multiplication-Avoiding Variant of Power Iteration with Applications.

Hongyi Pan, Diaa Badawi, Runxuan Miao, Erdem Koyuncu, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a Wildfire.

Hongyi Pan, Diaa Badawi, Chang Chen, Adam C. Watts, Erdem Koyuncu, Ahmet Enis Çetin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm.

Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin

CoRR, 2021

Robust Principal Component Analysis Using a Novel Kernel Related with the $L_{1}$ -Norm.

Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin

Proceedings of the 29th European Signal Processing Conference, 2021

Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks.

Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Additive neural network for forest fire detection.

Hongyi Pan, Diaa Badawi, Xi Zhang, Ahmet Enis Çetin

Signal Image Video Process., 2020

Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis.

Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin

Sensors, 2020

Computationally Efficient Spatio-Temporal Dynamic Texture Recognition for Volatile Organic Compound (VOC) Leakage Detection in Industrial Plants.

Diaa Badawi, Hongyi Pan, Sinan Cem Cetin, A. Enis Çetin

IEEE J. Sel. Top. Signal Process., 2020

Linking the Random Forests Model and GIS to Assess Geo-Hazards Risk: A Case Study in Shifang County, China.

Pei Huang, Li Peng, Hongyi Pan

IEEE Access, 2020

Fourier Domain Pruning of MobileNet-V2 with Application to Video Based Wildfire Detection.

Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2009

Dynamical Detection on Urban Sprawl Based on EO Data.

Hongyi Pan, Wenfu Peng, Wei He, Guiguo Jiang, Jieming Zhou, Wancun Zhou

Proceedings of the International Forum on Information Technology and Applications, 2009